4. SpatialExtremes- The SpatialExtremes package aims to develop tools for the modeling of spatial extremes. The knowledge of the univariate/multivariate distribution of extremes is not enough. This package will try to fill this gap.

5. depmixS4 - hidden Markov model classes- depmixS4 fits hidden Markov models on multi-var time series, subject to constraints on the parameters. Responses are from glm and some additional distributions; transitions can be time-dependent.

6. mixOmics- mixOmics is an R package that supplies different methodologies to unravel relationships between two heterogeneous data sets of size n × p and n × q where the p and q variables are measured on the same samples or individuals n.